Analysis of factors influencing electric vehicle adoption in Sub-Saharan Africa using a modified UTAUT framework

Abstract Electric vehicles (EVs) powered by renewable energy are central to achieving Sustainable Development Goal (SDG) 7.2, which aims to increase the share of renewable energy and reduce carbon emissions in the transportation sector. A 2023 projection estimated that EV sales in leading EV-importi...

Full description

Saved in:
Bibliographic Details
Main Authors: Qasim Ajao, Makhluk Hossain Prio, Lanre Sadeeq
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Discover Electronics
Subjects:
Online Access:https://doi.org/10.1007/s44291-025-00043-4
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832586005375352832
author Qasim Ajao
Makhluk Hossain Prio
Lanre Sadeeq
author_facet Qasim Ajao
Makhluk Hossain Prio
Lanre Sadeeq
author_sort Qasim Ajao
collection DOAJ
description Abstract Electric vehicles (EVs) powered by renewable energy are central to achieving Sustainable Development Goal (SDG) 7.2, which aims to increase the share of renewable energy and reduce carbon emissions in the transportation sector. A 2023 projection estimated that EV sales in leading EV-importing Sub-Saharan African (SSA) countries, including Nigeria, Ethiopia, South Africa, Kenya, Rwanda, Mauritius, and Seychelles, would exceed 700 million units within 5 years and grow to 4 million by 2037. Despite these optimistic forecasts, the current adoption rate of EVs in SSA remains significantly low. This study extends the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to identify key factors influencing EV adoption in the region. The model incorporates facilitating conditions, trust, performance expectancy, social influence, network externalities, and effort expectancy as critical determinants. Empirical results reveal that facilitating conditions (H6) have a 30% stronger effect on behavioral intentions compared to network externalities (H5). These findings highlight the need for robust infrastructure, supportive policies, and favorable conditions to accelerate EV adoption in SSA and shape EV purchase decisions. The paper concludes by discussing the empirical results and proposing directions for future research to deepen understanding of EV adoption dynamics in the region.
format Article
id doaj-art-98c3041f1ecc4b21aca9ec35a88f89ae
institution Kabale University
issn 2948-1600
language English
publishDate 2025-01-01
publisher Springer
record_format Article
series Discover Electronics
spelling doaj-art-98c3041f1ecc4b21aca9ec35a88f89ae2025-01-26T12:20:01ZengSpringerDiscover Electronics2948-16002025-01-012111510.1007/s44291-025-00043-4Analysis of factors influencing electric vehicle adoption in Sub-Saharan Africa using a modified UTAUT frameworkQasim Ajao0Makhluk Hossain Prio1Lanre Sadeeq2Department of Engineering, National Institute of Technology, West Africa ChapterDepartment of Electrical Engineering, Clemson UniversityDepartment of Electrical Engineering, Georgia Southern UniversityAbstract Electric vehicles (EVs) powered by renewable energy are central to achieving Sustainable Development Goal (SDG) 7.2, which aims to increase the share of renewable energy and reduce carbon emissions in the transportation sector. A 2023 projection estimated that EV sales in leading EV-importing Sub-Saharan African (SSA) countries, including Nigeria, Ethiopia, South Africa, Kenya, Rwanda, Mauritius, and Seychelles, would exceed 700 million units within 5 years and grow to 4 million by 2037. Despite these optimistic forecasts, the current adoption rate of EVs in SSA remains significantly low. This study extends the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to identify key factors influencing EV adoption in the region. The model incorporates facilitating conditions, trust, performance expectancy, social influence, network externalities, and effort expectancy as critical determinants. Empirical results reveal that facilitating conditions (H6) have a 30% stronger effect on behavioral intentions compared to network externalities (H5). These findings highlight the need for robust infrastructure, supportive policies, and favorable conditions to accelerate EV adoption in SSA and shape EV purchase decisions. The paper concludes by discussing the empirical results and proposing directions for future research to deepen understanding of EV adoption dynamics in the region.https://doi.org/10.1007/s44291-025-00043-4UTAUTElectric vehiclesFacilitating conditionsSub-Sahara AfricaNigeriaTechnology acceptance
spellingShingle Qasim Ajao
Makhluk Hossain Prio
Lanre Sadeeq
Analysis of factors influencing electric vehicle adoption in Sub-Saharan Africa using a modified UTAUT framework
Discover Electronics
UTAUT
Electric vehicles
Facilitating conditions
Sub-Sahara Africa
Nigeria
Technology acceptance
title Analysis of factors influencing electric vehicle adoption in Sub-Saharan Africa using a modified UTAUT framework
title_full Analysis of factors influencing electric vehicle adoption in Sub-Saharan Africa using a modified UTAUT framework
title_fullStr Analysis of factors influencing electric vehicle adoption in Sub-Saharan Africa using a modified UTAUT framework
title_full_unstemmed Analysis of factors influencing electric vehicle adoption in Sub-Saharan Africa using a modified UTAUT framework
title_short Analysis of factors influencing electric vehicle adoption in Sub-Saharan Africa using a modified UTAUT framework
title_sort analysis of factors influencing electric vehicle adoption in sub saharan africa using a modified utaut framework
topic UTAUT
Electric vehicles
Facilitating conditions
Sub-Sahara Africa
Nigeria
Technology acceptance
url https://doi.org/10.1007/s44291-025-00043-4
work_keys_str_mv AT qasimajao analysisoffactorsinfluencingelectricvehicleadoptioninsubsaharanafricausingamodifiedutautframework
AT makhlukhossainprio analysisoffactorsinfluencingelectricvehicleadoptioninsubsaharanafricausingamodifiedutautframework
AT lanresadeeq analysisoffactorsinfluencingelectricvehicleadoptioninsubsaharanafricausingamodifiedutautframework